Germany: LK Hof (Bayern)¶

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In [1]:
import datetime
import time

start = datetime.datetime.now()
print(f"Notebook executed on: {start.strftime('%d/%m/%Y %H:%M:%S%Z')} {time.tzname[time.daylight]}")
Notebook executed on: 05/07/2022 10:46:10 CEST
In [2]:
%config InlineBackend.figure_formats = ['svg']
from oscovida import *
In [3]:
overview(country="Germany", subregion="LK Hof", weeks=5);
2022-07-05T10:46:24.293852 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 200 200 400 400 600 600 800 800 7-day incidence rate (per 100K people) LK Hof, Germany, last 5 weeks, last data point from 2022-07-04 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 100 200 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.00 0.25 0.50 0.75 1.00 daily change normalised per 100K 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Germany-LK Hof cases daily growth factor Germany-LK Hof cases daily growth factor (rolling mean) Germany-LK Hof estimated R (using cases) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 0 2 2 4 4 6 6 8 8 R & growth factor (based on deaths) Germany-LK Hof deaths daily growth factor Germany-LK Hof deaths daily growth factor (rolling mean) Germany-LK Hof estimated R (using deaths) 30 May 06 Jun 13 Jun 20 Jun 27 Jun 04 Jul 0 200 400 600 cases doubling time [days] Germany-LK Hof doubling time cases (rolling mean) 0.0 94.5 189.0 daily change Germany-LK Hof new cases (rolling 7d mean) Germany-LK Hof new cases 0.000 0.236 0.473 0.709 0.945 daily change Germany-LK Hof new deaths (rolling 7d mean) Germany-LK Hof new deaths 0.000 0.266 0.533 0.799
In [4]:
overview(country="Germany", subregion="LK Hof");
2022-07-05T10:46:36.813430 image/svg+xml Matplotlib v3.5.2, https://matplotlib.org/ Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 0 1000 1000 2000 2000 3000 3000 7-day incidence rate (per 100K people) 783.9 LK Hof, Germany, last data point from 2022-07-04 Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0 200 400 600 daily change normalised per 100K Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 2.5 5.0 7.5 10.0 daily change normalised per 100K Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.8 0.8 1.0 1.0 1.2 1.2 1.4 1.4 1.6 1.6 R & growth factor (based on cases) Germany-LK Hof cases daily growth factor Germany-LK Hof cases daily growth factor (rolling mean) Germany-LK Hof estimated R (using cases) Apr 20 Jul 20 Oct 20 Jan 21 Apr 21 Jul 21 Oct 21 Jan 22 Apr 22 Jul 22 0.0 0.0 2.5 2.5 5.0 5.0 7.5 7.5 10.0 10.0 R & growth factor (based on deaths)